The Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. In short: we are here to build world class software that helps make AI applications work better.
This role will focus on our LLM product : Evals, tracing, and building workflows for AI engineers to go from development to production. You'll also be working closely (or within) our Core Product, Copilot and Open Source teams.
The Team
Our team is working to define the “canonical stack” for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry.
What You’ll Do
What We’re Looking For
Bonus Points, But Not Required
The estimated annual salary for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
More About Arize
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture